619 phd-computer-science-fully-funded-"IMPRS-ML"-"IMPRS-ML" positions at Monash University in Australia
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Doctor of Philosophy (PhD) or Master of Engineering Science (Research) Domestic Scholarship Opportunities at Faculty of Engineering Location: Clayton campus Employment Type: Full-time Graduate
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PhD Scholarship Opportunity – Software Engineering for Social Good Job No.: 677910 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment The Opportunity
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physicist with an outstanding research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum
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/admissions/entry-requirements/minimum . Candidate Requirements Undergraduate honours degree or Master's by research degree in a relevant discipline (Computer Science, Robotics, Engineering or others related
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Scholarship in CSIRO Industry PhD Program - Project 1: Resilient & Practical Quantum-Safe Threshold Cryptography Job No.: 678541 Location: Clayton campus Employment type: Full-time Duration: 4-year
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Scholarship in CSIRO Industry PhD Program - Project 2: Techniques and Frameworks for Enabling Post-Quantum Cryptography (PQC) Migration Job No.: 678538 Location: Clayton campus Employment Type: Full
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PhD Program – Understanding core competencies and mechanisms in the development and prevention of problem behaviour and poor mental health in the adolescent and early adult years Job No.: 680087
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impact in translational fields, which often aim to use generative AI in a responsible way. This PhD project is part of a larger cohort of projects in the Monash AI Institute, a recently expanded program
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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, fabricate structures at the Melbourne Centre for Nanofabrication, and measure their optical and electrical properties. The successful candidate will have a PhD in Physics, Materials Engineering, or a closely